A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer's disease. - Gerard Martí-Juan; Gerard Sanroma-Guell; Gemma Piella (Comput. Methods Programs Biomed., 2020)

Data-driven methods to characterize heterogeneity in Alzheimer's disease using cross-sectional and longitudinal data. - Gerard Martí-Juan (2021)

MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling. - Gerard Martí-Juan; Marco Lorenzi; Gemma Piella; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2023)

Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study. - Thomas Sanchez; Angeline Mihailov; Yvan Gomez; Gerard Martí-Juan; Elisenda Eixarch; András Jakab; Vincent Dunet; Mériam Koob; Guillaume Auzias; Meritxell Bach Cuadra (PIPPI@MICCAI, 2024)

Automatic Quality Control in Multi-centric Fetal Brain MRI Super-Resolution Reconstruction. - Thomas Sanchez; Vladyslav Zalevskyi; Angeline Mihailov; Gerard Martí-Juan; Elisenda Eixarch; András Jakab; Vincent Dunet; Mériam Koob; Guillaume Auzias; Meritxell Bach Cuadra (PIPPI@MICCAI, 2025)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo-Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)